The Alan Turing Institute
Delft University of Technology
2024-05-08
Economist by training, previously Bank of England, currently 3rd year PhD in Trustworthy AI @ TU Delft.
Why Trustworthy AI and why in Julia?
CounterfactualExplanations.jl and LaplaceRedux.jl at JuliaCon.ConformalPrediction.jl at JuliaCon.CounterfactualExplanations.jl and LaPlaceRedux.jl.CounterfactualExplanations.jl published in JuliaCon proceedings.CounterfactualExplanations.jl and LaplaceRedux.jl at JuliaCon.TaijaInteractive.jl.ConformalPrediction.jl at JuliaCon.CounterfactualExplanations.jl and LaPlaceRedux.jl.CounterfactualExplanations.jl published in JuliaCon proceedings.CounterfactualExplanations.jl and LaplaceRedux.jl at JuliaCon.Taija has been used in the following publications:
CounterfactualExplanations.jl: A package for Counterfactual Explanations and Algorithmic Recourse in Julia.
ConformalPrediction.jl: Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.
LaplaceRedux.jl: Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.
JointEnergyModels.jl: A package for Joint Energy Models and Energy-Based Models in Julia.
With thanks to my co-authors Andrew M. Demetriou, Antony Bartlett, and Cynthia C. S. Liem and to the audience for their attention.